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Your ML & Data Knowledge Wiki. Best practices and expert-level knowledge for Machine Learning and Data Engineering, covering 1000+ frameworks and libraries from training to deployment.
Browse implementation patterns, configuration guides, debugging heuristics, and battle-tested defaults for frameworks like vLLM, DeepSpeed, Megatron-LM, FlashAttention, Triton, Unsloth, LangChain, and many more. Every page is structured so both humans and AI agents can find what they need fast.
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| Category | Description | Browse |
|---|---|---|
| Workflows | Step-by-step processes and procedures | Browse All |
| Principles | Core ideas and foundational knowledge | Browse All |
| Implementations | Code-level details and modules | Browse All |
| Heuristics | Best practices and guidelines | Browse All |
| Environments | Setup and configuration guides | Browse All |
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Workflows
- Workflow:Kubeflow Kubeflow Release Management
- Workflow:Puppeteer Puppeteer Web Scraping And Interaction
- Workflow:Apache Shardingsphere Shadow Rule Configuration
- Workflow:Run llama Llama index RAG Query Pipeline
- Workflow:Cleanlab Cleanlab Classification Label Issue Detection
- Workflow:Hiyouga LLaMA Factory Full Parameter SFT
- Workflow:Apache Paimon Table Read Write
- Workflow:Hpcaitech ColossalAI DPO Alignment
- Workflow:Rapidsai Cuml Dimensionality Reduction
- Workflow:Langgenius Dify Application Creation
Principles
- Principle:ArroyoSystems Arroyo Connection Profile Management
- Principle:Huggingface Datasets Dataset Filtering
- Principle:LLMBook zh LLMBook zh github io LoRA Adapter Merging
- Principle:Togethercomputer Together python Text To Speech
- Principle:Ggml org Ggml Token Sampling
- Principle:Langgenius Dify SecureWindowOpening
- Principle:Interpretml Interpret Data Exploration
- Principle:LLMBook zh LLMBook zh github io Reward Modeling
- Principle:Farama Foundation Gymnasium Video Frame Saving
- Principle:Confident ai Deepeval OpenAI Agents Instrumentation
Implementations
- Implementation:Langgenius Dify SingleNodeRun
- Implementation:FlowiseAI Flowise ConnectionLine
- Implementation:Volcengine Verl FSDPSFTTrainer Fit
- Implementation:Apache Kafka Docker Buildx Remove
- Implementation:Microsoft Semantic kernel EnglishRoberta Encoder
- Implementation:Langgenius Dify Service Access Control
- Implementation:Axolotl ai cloud Axolotl Prepare Optim Env
- Implementation:Ucbepic Docetl MapOptimizer PromptGenerators
- Implementation:Pyro ppl Pyro BlockMessenger
- Implementation:MarketSquare Robotframework browser Babel Transpile
Heuristics
- Heuristic:Tencent Ncnn Letterbox Vs Direct Resize
- Heuristic:Romsto Speculative Decoding KV Cache Instability
- Heuristic:Microsoft Autogen Graph Validation Rules
- Heuristic:LMCache LMCache CacheGen Quantization Strategy
- Heuristic:FlagOpen FlagEmbedding Gradient Checkpointing Tip
- Heuristic:Marker Inc Korea AutoRAG Module Selection Strategies
- Heuristic:ContextualAI HALOs FSDP Sampling Workaround
- Heuristic:Gretelai Gretel synthetics Parallel Generation CUDA Disable
- Heuristic:Haifengl Smile Platform Native Library Selection
- Heuristic:Lance format Lance BM25 FTS Configuration
Environments
- Environment:Unslothai Unsloth Python Transformers
- Environment:Microsoft DeepSpeedExamples RLHF Training Environment
- Environment:Sktime Pytorch forecasting Core Python Dependencies
- Environment:Unstructured IO Unstructured Libmagic
- Environment:Apache Kafka Gradle Build Environment
- Environment:Lm sys FastChat Python Core Dependencies
- Environment:Junyanz Pytorch CycleGAN and pix2pix DDP Multi GPU
- Environment:Kubeflow Kubeflow Git GitHub Environment
- Environment:Openai Evals Optional Provider APIs
- Environment:Microsoft LoRA PyTorch CUDA Environment